
\begin{table}[htbp]
   \caption{\label{tab:compreg3maxpct} Regression results: censored savings (max\{0, savings\}) from heat pump by income, race, and urban/rural designation, expressed as percent of income in percentage points}
   \centering
   \begin{tabular}{lccc}
      \tabularnewline \midrule \midrule
      Model:           & (1)             & (2)             & (3)\\  
      \midrule
      \emph{Variables}\\
      Constant         & -0.0239$^{***}$ &                 &   \\   
                       & (0.0050)        &                 &   \\   
      Less than \$10k  & 2.407$^{***}$   & 2.390$^{***}$   & 2.372$^{***}$\\   
                       & (0.0313)        & (0.0308)        & (0.0294)\\   
      $10-$15k         & 1.152$^{***}$   & 1.137$^{***}$   & 1.113$^{***}$\\   
                       & (0.0159)        & (0.0157)        & (0.0142)\\   
      $15-$25k         & 0.7074$^{***}$  & 0.6926$^{***}$  & 0.6703$^{***}$\\   
                       & (0.0101)        & (0.0104)        & (0.0091)\\   
      $25-$35k         & 0.4495$^{***}$  & 0.4363$^{***}$  & 0.4159$^{***}$\\   
                       & (0.0069)        & (0.0077)        & (0.0065)\\   
      $35-$50k         & 0.2843$^{***}$  & 0.2763$^{***}$  & 0.2590$^{***}$\\   
                       & (0.0050)        & (0.0063)        & (0.0051)\\   
      $50-$75k         & 0.1665$^{***}$  & 0.1615$^{***}$  & 0.1465$^{***}$\\   
                       & (0.0037)        & (0.0052)        & (0.0041)\\   
      $75-$100k        & 0.0907$^{***}$  & 0.0904$^{***}$  & 0.0787$^{***}$\\   
                       & (0.0029)        & (0.0044)        & (0.0034)\\   
      $100-$150k       & 0.0501$^{***}$  & 0.0541$^{***}$  & 0.0481$^{***}$\\   
                       & (0.0022)        & (0.0036)        & (0.0026)\\   
      $150-$200k       & 0.0226$^{***}$  & 0.0272$^{***}$  & 0.0262$^{***}$\\   
                       & (0.0014)        & (0.0024)        & (0.0017)\\   
      Black            & 0.0354$^{***}$  & -0.0501$^{***}$ & 0.0178$^{***}$\\   
                       & (0.0118)        & (0.0082)        & (0.0044)\\   
      Asian            & -0.0674$^{***}$ & -0.0230$^{***}$ & 0.0037\\   
                       & (0.0076)        & (0.0069)        & (0.0038)\\   
      Native Am.       & 0.0545$^{**}$   & 0.0809$^{***}$  & 0.0637$^{***}$\\   
                       & (0.0239)        & (0.0161)        & (0.0126)\\   
      Other            & -0.0843$^{***}$ & -0.0392$^{***}$ & 0.0117$^{***}$\\   
                       & (0.0075)        & (0.0065)        & (0.0036)\\   
      Rural PUMA       & 0.2353$^{***}$  & 0.2105$^{***}$  &   \\   
                       & (0.0126)        & (0.0095)        &   \\   
      \midrule
      \emph{Fixed-effects}\\
      State            &                 & Yes             & \\  
      PUMA             &                 &                 & Yes\\  
      \midrule
      \emph{Fit statistics}\\
      Observations     & 5,947,311       & 5,947,311       & 5,947,311\\  
      R$^2$            & 0.26325         & 0.29452         & 0.32289\\  
      Within R$^2$     &                 & 0.26060         & 0.25412\\  
      \midrule \midrule
      \multicolumn{4}{l}{\emph{ Clustered (PUMA) standard-errors in parentheses }}\\
      \multicolumn{4}{l}{\emph{ Signif. Codes: $^{***}$: 0.01, $^{**}$: 0.05, $^{*}$: 0.1 }}\\
      \multicolumn{4}{l}{\emph{ Omitted categories are income: \$200k+, race: White }}\\
   \end{tabular}
\end{table}


